GLBKitGLBKit

PCD Model Viewer

Open and inspect pcd files directly in your browser. No installation.
Point Cloud Library point clouds for LiDAR and robotics.

Drop your PCD file here

Upload a PCD file or ZIP package to inspect your point cloud.

PCDZIP

Why Developers Choose GLBKit for PCD

GLBKit renders PCD point clouds from the Point Cloud Library in the browser. It supports both organized and unorganized clouds and is useful for robotics, LiDAR, and photogrammetry inspection.

Browser Based PCD

Open PCD point cloud files directly in your browser without installing software.

Local File Processing

Process compatible PCD files locally on your device.

Fast Point Cloud Rendering

Render PCD point clouds with GPU-accelerated WebGL.

LiDAR & Photogrammetry

Inspect point clouds from robotics, LiDAR, and photogrammetry pipelines.

Organized & Unorganized

View both organized and unorganized PCD point clouds.

No Server Upload

Inspect PCD files without uploading them to a remote server.

About this format

PCD (Point Cloud Data) is the native format of the Point Cloud Library (PCL), the de facto open source library for 3D perception. It stores point clouds from LiDAR, depth cameras, photogrammetry, and robotics sensors. GLBKit renders .pcd files in the browser so you can inspect point clouds from robotics, autonomous driving, and research pipelines without writing code.

What is a .pcd file?

.pcd is the native point cloud format of the Point Cloud Library. It can be ASCII or binary, and it stores per-point fields like x/y/z, intensity, RGB color, and custom sensor data.

PCD is the standard exchange format in PCL-based pipelines, which dominate robotics, autonomous driving, and 3D perception research.

  • Point cloud format from the Point Cloud Library
  • ASCII or binary, with per-point fields (x/y/z, intensity, RGB)
  • Standard in robotics, autonomous driving, 3D perception
  • Open format, widely used in research and industry

Common uses for PCD files

PCD is everywhere in 3D perception. If you work with LiDAR, depth cameras, or photogrammetry, you have probably encountered PCD.

  • Robotics and autonomous driving point clouds
  • LiDAR, depth camera, and photogrammetry data
  • 3D perception research and benchmarking
  • SLAM, mapping, and localisation pipelines

How GLBKit renders .pcd files

GLBKit parses the PCD header and point data in the browser and renders the point cloud with WebGL. Color fields are preserved when present, so the cloud looks the way it was captured.

  • Drop a .pcd file to start
  • Orbit, pan, and zoom with mouse, touch, or pen
  • Color and intensity fields preserved
  • No upload, no signup, fully local processing

GLBKit capabilities for .pcd

GLBKit is a viewer for PCD point clouds. You can inspect geometry and color, but you cannot run algorithms like segmentation or registration in the viewer.

  • Point cloud rendering with color and intensity
  • Efficient rendering for large point clouds
  • Inspect clouds from robotics and LiDAR pipelines
  • Process files locally in the browser

Who uses GLBKit for .pcd files

PCD is the format of 3D perception. GLBKit is the easiest way to inspect a point cloud without writing a PCL program.

  • Robotics and autonomous driving engineers
  • LiDAR and photogrammetry specialists
  • 3D perception researchers
  • SLAM and mapping developers

Open your .pcd file now

Drop a .pcd file into the viewer. Inspect point clouds from robotics and LiDAR in seconds.

Frequently Asked Questions

Common questions about opening PCD point clouds in the browser.

PCD is the native format of the Point Cloud Library. It stores organized and unorganized point clouds with arbitrary scalar fields.
Yes. Drop the .pcd into GLBKit's PCD viewer and it renders in your browser with WebGL.
Yes. PCD can store both organized (image-like) and unorganized point clouds.
No. PCD parsing and rendering happen locally in your browser.
PLY is a general polygon and point-cloud format. PCD is more specialised for robotics, LiDAR, and 3D perception pipelines.
PCD is common in robotics, autonomous driving, SLAM, and 3D perception research built on the Point Cloud Library.